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AI Intern

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Job Description Summary

The Information Systems AI Intern is a one-year, fixed-term position for recent graduates who are interested in gaining hands-on experience in the field of artificial intelligence. This position will work primarily with the Data Analytics and Enterprise Systems teams to design, develop, and deploy innovative AI-powered solutions that drive adoption with the goal of productivity gains.
The Intern will have the opportunity to work on real-world projects and gain practical experience in AI and machine learning, as well as learn from experienced professionals. This can be a great opportunity for students to learn, grow and develop skills that are in demand in the industry.

Job Description

  • Data Analysis and AI Applications 

    • Collect, process, and analyze large datasets to identify trends, patterns, and insights that inform business decisions.

    • Create interactive dashboards and reports to effectively communicate insights and recommendations to stakeholders.

    • Design, train, and test AI models using various algorithms (e.g., machine learning, deep learning) to solve complex problems.

  • Workflow and Customer Service Innovation

    • Collaborate with functional teams (e.g., Admissions, Student Services, Registrar, HR) to identify areas where AI can improve workflows and customer service.

    • Design and prototype AI solutions (e.g., chatbots, intelligent automation, personalized recommendations) to address identified needs.

    • Document processes and provide training materials for end-users

  • Stay up-to-date with the latest advancements in AI and data science, identifying new opportunities for innovation and growth.

Requirements:

  • Recent graduate (or soon-to-be graduate) with a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Familiarity with AI programming languages such as Python, R and SQL

  • Familiarity analytical and machine learning concepts and techniques

  • Strong communication and collaboration skills

Preferred Qualifications:

  • Experience with Co-Pilot, Gemini, Chat GPT or similar AI Tools

  • Experience with Natural Language Processing (NLP) and application with analytic applications

Additional Job Description

Note:

This position profile identifies the key responsibilities and expectations for performance. It cannot encompass all specific job tasks that an employee may be required to perform. Employees are required to follow any other job-related instructions and perform job-related duties as may be reasonably assigned by the employee’s supervisor.

To help provide a safe learning and living community, Wake Forest University conducts background investigations and drug screens for all final candidates being considered for employment.

Wake Forest seeks to recruit and retain a diverse workforce and encourages qualified candidates across all group demographics to apply. Wake Forest University is committed to providing access and reasonable accommodation in employment for individuals with disabilities.

Time Type Requirement

Full time

Note to Applicant:

This position profile identifies the key responsibilities and expectations for performance. It cannot encompass all specific job tasks that an employee may be required to perform. Employees are required to follow any other job-related instructions and perform job-related duties as may be reasonably assigned by his/her supervisor.

In order to provide a safe and productive learning and living community, Wake Forest University conducts background investigations and drug screens for all final staff candidates being considered for employment.

Wake Forest seeks to recruit and retain a diverse workforce while promoting an inclusive work environment committed to excellence in the spirit of Pro Humanitate. In adherence with applicable laws and as provided by University policies, the University prohibits discrimination in its employment practices on the basis of race, color, religion, national origin, sex, age, sexual orientation, gender identity and expression, genetic information, disability and veteran status and encourages qualified candidates across all group demographics to apply. 

In accordance with the Jeanne Clery Campus Safety Act, you may find a copy of the current Annual Security and Fire Safety Report by visiting police.wfu.edu/clery  Please contact University Police if you would like a hard copy or if you have any questions regarding the content of this report. University Police can be reached at 336-758-5591. 

What You Should Know About AI Intern, Wake Forest University

Are you ready to kick-start your career in artificial intelligence? Join Wake Forest University as an AI Intern in Winston-Salem, North Carolina! This year-long opportunity is perfect for recent graduates eager to dive into the exciting world of AI. You'll collaborate with our Data Analytics and Enterprise Systems teams to create innovative AI-powered solutions that boost productivity. Imagine working on real-world projects where you collect and analyze large datasets to uncover insights that directly influence business decisions. You'll design, train, and test AI models using cutting-edge algorithms, and help enhance workflows across functional teams like Admissions and HR. Your creative ideas could lead to the development of chatbots and intelligent automation solutions that transform our customer service experience. Not only will you gain hands-on experience in AI and machine learning, but you’ll also get to learn from seasoned professionals in the field. If you're a recent graduate in Computer Science, Data Science, or a related field, and have familiarity with programming languages like Python and R, this position offers the perfect chance to grow your skills and become part of a diverse and dynamic team. So why wait? This internship could launch your career in AI and make a real impact in the industry!

Frequently Asked Questions (FAQs) for AI Intern Role at Wake Forest University
What are the responsibilities of the AI Intern at Wake Forest University?

As the AI Intern at Wake Forest University, you'll be involved in data analysis and AI applications, working on real-world projects that include collecting, processing, and analyzing datasets. You'll create interactive dashboards to communicate insights and help design AI models using various algorithms to address complex challenges in business.

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What qualifications do I need to apply for the AI Intern position at Wake Forest University?

To qualify for the AI Intern position at Wake Forest University, you should be a recent graduate or soon-to-be graduate with a Bachelor's degree in Computer Science, Data Science, or a related field. Familiarity with AI programming languages such as Python, R, and SQL, along with strong communication and collaboration skills, are essential.

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What kind of projects can the AI Intern expect to work on at Wake Forest University?

As an AI Intern at Wake Forest University, expect to work on a variety of projects aimed at enhancing customer service and operational workflows. You'll collaborate with teams to identify how AI can streamline processes, and you might prototype AI solutions like chatbots and personalized recommendations.

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Is there a specific software knowledge required for the AI Intern role at Wake Forest University?

Yes, for the AI Intern role at Wake Forest University, a familiarity with analytical tools and AI programming languages is needed. Knowledge of machine learning techniques and tools such as Co-Pilot, Gemini, and Chat GPT would be advantageous and enhance your application.

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What does a typical day look like for the AI Intern at Wake Forest University?

A typical day for the AI Intern at Wake Forest University would involve working on data collection and analysis, developing AI models, attending team meetings to discuss innovative solutions, and possibly producing reports or dashboards to share your findings with stakeholders.

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Common Interview Questions for AI Intern
Can you explain a machine learning project you worked on during your studies?

When answering this question, outline the problem you aimed to solve, the data you collected, the algorithms or techniques you used, and the project outcomes. Highlight your role in the project and any challenges you overcame to illustrate your problem-solving skills.

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How do you stay updated with the latest advancements in AI?

A great response includes mentioning specific journals, websites, or influencers you follow, as well as any relevant courses or certifications you've completed. This shows your dedication to continuous learning and your passion for the AI field.

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What do you think is the biggest challenge in AI today?

Discuss challenges such as data privacy, algorithmic bias, or ethical implications in AI. Be sure to provide your perspective and potentially suggest solutions, demonstrating your critical thinking and analytical skills.

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How would you approach a project that requires cross-functional collaboration?

Highlight your communication skills and your ability to work with diverse teams. Discuss strategies like setting clear objectives, actively listening to team members, and using collaborative tools to ensure project success.

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What algorithms are you most familiar with in machine learning?

Be prepared to discuss specific algorithms like decision trees, neural networks, or support vector machines. Explain situations where you have applied these algorithms and the results you achieved.

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Describe a time when you had to analyze a large dataset. What tools did you use?

Provide specific examples of datasets you've worked with and the analytical tools you used, such as Python libraries or Excel. Discuss your approach to extracting insights and any challenges you encountered.

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Can you explain the difference between supervised and unsupervised learning?

Supervised learning involves training a model on labeled data, allowing it to make predictions on new data, while unsupervised learning does not use labeled data and instead identifies patterns directly from the input data. Illustrate your answer with examples to showcase your understanding.

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Why are you interested in the AI Intern position at Wake Forest University?

This is your chance to emphasize your passion for AI and how working at Wake Forest aligns with your career goals. Talk about the innovative work being done at the university and how you can contribute to its mission.

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How do you approach troubleshooting and problem-solving in data analysis?

Discuss your systematic approach to identifying issues or inconsistencies in data. Explain how you gather information, test hypotheses, and revise your analysis to arrive at a solution effectively.

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What are your career goals in the field of AI?

Share your aspirations, whether they involve pursuing further studies or gaining specialized skills in specific areas of AI. Make sure to connect your goals with the experiences you hope to gain from the internship.

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Demon Deacons may sound like a weary clergyman's nightmare but at Wake Forest, it's something to cheer about. Wake Forest University (WFU), home of the Demon Deacons, is a private liberal arts institution that operates through about half a dozen c...

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Full-time, on-site
DATE POSTED
April 4, 2025

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